Intelligent Optimization of Ticket Fare for China High-Speed Railway

With the rapid development of China’s high-speed railway, the ticket fare structure of high-speed trains is an urgent need of intelligent optimization. A reasonable fare scheme should maximize the revenue of Railway Company, at the same time balancing passengers’ choice behavior. This paper applies bi-level programming to deal with this ticket fare optimization problem. A bi-level programming model is built first, of which the upper level programming is the revenue maximization problem, and the lower level programming is the elastic-demand network flow equilibrium problem. Then, a heuristic algorithm based on sensitivity analysis is proposed to solve the model. At last, the actual case and data is applied to verify the authors' method.


  • English

Media Info

  • Media Type: Web
  • Pagination: pp 5247-5256
  • Monograph Title: CICTP 2019: Transportation in China—Connecting the World

Subject/Index Terms

Filing Info

  • Accession Number: 01711795
  • Record Type: Publication
  • ISBN: 9780784482292
  • Files: TRIS, ASCE
  • Created Date: Jul 2 2019 3:12PM